Chapter_10_Field Research Flashcards

(44 cards)

1
Q

2 Problems of Control in Field Settings

A
  1. Control Over Variables
  2. Control Over Research Populations
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2
Q

Problems with Control Over Variables

A
  1. limited control over their independent variable
  2. recording of observations is especially difficult
  3. limited control over extraneous variables
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3
Q

Problems with Control Over Research Populations

A
  1. natural settings may also be based
    on unrepresentative samples
  2. impossible to randomly assign
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4
Q

Field experiments

A

balance between control and naturalism in research
- by studying people’s natural behavioral responses to manipulated IVs in natural settings

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5
Q

Settings and Sample

A

Publicness
a wider variety of people in them than are other settings

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6
Q

High publicness

A

Find any member of the public.
- e.g. public parks, streets, and highways

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7
Q

Middle publicness

A

People are likely to be similar on one or more characteristics.
-e.g. public meetings, racetracks, areas outside residential houses, and college campuses

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8
Q

Low end publicness

A

Less public and more institutionalized, where people are linked by some common characteristic
- e.g. student housing, public transportation, restaurants, and stores

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9
Q

Characteristics of a Good Setting

A
  1. ability to manipulate the independent variable in the setting
    + random assignment
  2. events could reasonably be expected to take place in that setting
  3. permission
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10
Q

The Accosting Strategy

A

select a specific subject who then becomes the target for the experimental intervention

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11
Q

Problems in Field Experimentation

A
  1. Construct Validity
  2. Control Over Extraneous Variables
  3. Vulnerability to Outside Interference
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12
Q

Construct Validity Problems

A
  1. using manifest variables rather than hypothetical constructs
    - solution
    + a pilot study
  2. discriminant validity can be a problem
    - be influenced by other people
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13
Q

Control Over Extraneous Variables Problems

A
  1. IVs are confounded with the environment
  2. participants characteristics might be confounded with setting
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14
Q

Natural Experiments

A
  • IVs = events outside their control or institutional policies
  • correlational study
  • no IV manipulatation
  • no random assignment
  • no control over extraneous variables
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15
Q

Quasi-experiment

A
  • IVs = existing groups
  • manipulate IV
  • random assignment
  • no control over extraneous variables
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16
Q

Nonequivalent Control Group Design

A
  • experiment and control groups are similar
  • not randomly assigned
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17
Q

2 Cons of Nonequivalent Control Group Design

A
  1. pre-existing differences
  2. biased selection
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18
Q

The Problem of Pre-existing Differences

A

Extreme ends
- regression to the mean at post test

19
Q

The Problem of Biased Selection

A

Participants’ personal characteristics are confounded with the IVs
- self selection
- after-the-fact selection differences
-> differential attrition

20
Q

Focal Local Controls

A

Ensure that the control and treatment groups are as similar as possible
- same location
- share important (focal) personal characteristics

21
Q

Nested ANOVA

A

can separate the variance in the dependent variable that is due to
the effect of the independent variable

22
Q

The Interrupted Time Series Design

A
  • single-case approach
  • baseline period
    is followed by a treatment that “interrupts” the baseline,
  • followed by a period of post-treatment observations
23
Q

Equivalent time samples design

A
  • original design
  • withdrawing the treatment
  • making observations about behavior without the treatment
  • the treatment is reintroduced
  • behavior is assessed
24
Q

Control Series Design

A

an interrupted time series design with the addition of one or more control cases

25
Multiple time series design
including an additional treatment group that receives the treatment (or interruption) at a different time
26
Naturalistic Observation
Study human behavior as it occurs in natural settings in response to natural events, uninfluenced by the researcher - maximize the ecological validity - minimizing control
27
2 Dimensions of Naturalistic Observation
1. participation - observer takes part in the events 2. deception - observer conceals his or her identity as a researcher
28
4 Categories of participant observation
1. Complete participation 2. Participant as observer 3. Observer as participant 4. Nonparticipant observation
29
Complete Participation
1. full member 2. no member aware con - ethical issue of deception
30
Participant as Observer
1. full member 2. members aware con - induce reactivity
31
Observer as Participant
interact with members no more than necessary
32
Nonparticipant Observation
1. no participation 2. record/observe covert/overt
33
2 Axes of behavior coding
1. Manifest or Latent Content 2. Broad Versus Narrow Coding Categories
34
manifest content
what can actually be observed
35
latent content
how coders interpret observed behavior
36
Broad Coding Category
Using relatively few high-level categories - ignoring fine distinctions between similar behaviors
37
Narrow Coding Category
large number of categories to capture the behavior of interest
38
Why is broad better than narrow?
1. higher reliability 2. higher inter-rater reliability
39
5 Problems in Naturalistic Observation
1. Cognitive Biases 2. Recordkeeping 3. Reactivity 4. Influencing Events 5. Effects on the Observer
40
Cognitive Biases
1. selective attention 2. expectations 3. reconstructive memory
41
Recordkeeping
not always possible to record behavior as it occurs
42
Reactivity
change behaviors to show themselves in a favorable light as they are aware of being observed
43
Influencing Events
unintentionally influencing the people and events
44
Effects on the Observer
Feel anxious or guilty over the deception